Xin Feng Assistant Professor, Department of Geography and Environmental Sustainability The University of Oklahoma Norman, OK 73019, USA Email: selena.feng@ou.edu Curriculum Vitae

Education

• Ph.D., 2019, Geography, University of California, Santa Barbara, USA
  
• M.A., 2015, Geographical Sciences and Urban Planning, Arizona State University, USA
  
• M.S., 2013, Remote Sensing & GIS, Peking University, China
  
• B.S., 2010, Cartography and Geographical Information System, Wuhan University, China

Research Interests

• Spatial optimization
  
• Geographic information science
  
• Urban, regional, and natural resource planning and development
  
• Spatial analytics
  
• Location modeling
  
• Transportation
  
• Spatial decision support system and GIS application and development

Publications (Google Scholar Page , ResearchGate Page)

• X Feng, S Wang, AT Murray, Y Cao, S Gao (2020) MOTO: A multi-objective trajectory optimization method for finding sequential activity locations over space and time, Environment and Planning B-Urban Analytics and City Science, to appear
• X Feng, AT Murray (2020) Spatiotemporal heterogeneous allocation to support service area response, Computers, Environment, and Urban Systems, to appear
• AT Murray, R Church, X Feng (2020) Single facility siting involving allocation decisions, European Journal of Operational Research, to appear
• S Wang, S Gao, X Feng, AT Murray, Y Zeng (2018) A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks, International Journal of Geographical Information Science, 32:7, 1368-1390
• X Feng, AT Murray (2018) Spatial Analytics for Enhancing Street Light Coverage of Public Spaces, LEUKOS, 14 (1), 13-23
• AT Murray, X Feng, A Shokoufandeh (2018) Heterogeneous Skeleton for Summarizing Continuously Distributed Demand in a Region, 10th International Conference on Geographic Information Science (GIScience 2018)
• X Feng, AT Murray (2018) Allocation using a heterogeneous space Voronoi diagram, Journal of Geographical Systems, 1-20
• AT Murray, X Feng (2016) Public street lighting service standard assessment and achievement, Socio-Economic Planning Sciences, 53, 14-22
• X Feng, SW Myint (2016) Exploring the effect of neighboring land cover pattern on land surface temperature of central building objects, Building and Environment, 95, 346-354
• J Song, S Du, X Feng, L Guo (2014) The relationships between landscape compositions and land surface temperature: Quantifying their resolution sensitivity with spatial regression models, Landscape and Urban Planning, 123, 145-157
• X. Feng, S. Du, F. Zhang and S. Wang (2013) Urban land classification of high-resolution images based on multi-scale fusion, Journal of Geography and Geo-Information Science, 29(3): 43-47.
• X. Feng, S. Du, H. Shu (2011) The effect of spatial weight matrices on spatial autocorrelation - a cased study of hemorrhagic fever with renal syndrome (HFRS) in China. Geomatics and Information Science of Wuhan University, 36(12): 1410-1413.
• X. Feng, S. Du, H. Shu (2011) Spatial regression analysis in hemorrhagic fever with renal syndrome (HFRS) in China. Proceedings of 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 77-80.

Honors

• Excellence in Research Award, Department of Geography, University of California, Santa Barbara, 2019.
  
• 2nd Place, Student Paper Competition, Geographic Information Science and Systems Specialty Group (GISS-SG), American Association of Geographers Annual Meeting, Washington, DC, April 3-7, 2019.
  
• Finalist (2nd Place), Tiebout Prize, Best Graduate Student Paper Award Western Regional Science Association 57th Annual Meeting, USA, February 11-14, 2018.
  
• Dangermond Travel Grant, Department of Geography, University of California, Santa Barbara, 2016-2018.
  
• Lounsbury Student Travel Fellowship, Arizona State University, 2014.
  
• Wusi Individual Scholarship, Peking University, China, 2013.
  
• 2nd Place, Best Student Paper Award, IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, Fuzhou, China, July 6-8, 2011.
  

Kaggle Competition

• New York City Taxi Fare Prediction , Hosted by Google and R Studio, Sept. 2018
  Final Leaderboard Rank: 9/1488 (top 1%)
• Google Analytics Customer Revenue Prediction , Hosted by Google Cloud and Coursera, Feb. 2019
  Final Leaderboard Rank: 11/1089 (top 1%, Gold Medal)